AI Solution Architect
AI Solution Architect
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Atlantis Health
Atlantis Health was founded in 1996 with a clear goal: to improve understanding of the factors influencing health behaviours and optimise these among people from prediagnosis to those living with longterm health conditions.
Based on the depth of experience acquired in the past 25 years we have developed proprietary datadriven tools and technologies that enhance patient engagement and empower Change for Good.
We are a team of experienced behaviour change agents with firsthand experience building and scaling patientcentric behavioural solutions within the regulated healthcare space. We are passionate about what we do and wholeheartedly believe in our vision to transform patient outcomes globally by bringing the power of digital technology to healthcare.
If you enjoy working with solutionoriented driven colleagues in a fastpaced bureaucraticfree environment then come and join us at Atlantis Health.
Our Vision
To preserve the health of people everywhere in any place at any time.
Our Purpose
To help people Change for Good by empowering them to achieve health goals that will positively impact their lives and the lives of those around them.
Purpose of Role
We seek an AI Solution Architect to join us as a core technical lead for our AI initiatives focusing on AWS AI technologies with experience in Microsoft CoPilot and AWS (we mention below). This role will support developing and implementing AIdriven solutions to support our global internal operations and customer projects.
The role involves supporting all technical aspects of AI solution design including defining the scope requirements and cost estimates for AI technology delivery in professional services delivery engagements. Use cases include using AI to enhance internal business processes and optimize patient engagement solutions.
Ideal Candidates will have the right mix of experience technical and soft skills. This role is not suitable for introverted technologists. The ideal candidate must feel comfortable leading and educating internal and external stakeholders.
What Youll Accomplish
As a member of the Atlantis Group Technology team your role is to partner with the inmarket teams acting as a technical AI advisor to support the global team in designing and implementing AIdriven solutions. Key activities include:
- Engaging stakeholders to uncover strategic priorities and identify potential use cases.
- Applying your understanding of AI technologies to both enhance Atlantis business solution design processes and design innovative solutions that leverage Atlantis Healths platforms to address customer/patient requirements.
- Evangelizing the technical regulatory security and data privacy capabilities of Atlantis Health AI solutions.
- Owning all technical aspects of the AI solution design process including answering technical questions conducting product demonstrations and scoping the technical work for delivery engagements.
- Supporting the Account teams in completing technical regulatory security and data privacy assessments from potential customers.
- Developing relationships across complex customer stakeholder landscapes building a reputation as a trusted technical advisor.
What Were Looking For
- Bachelors or Masters degree in Computer Science Engineering or a related field (or equivalent experience).
- 35 years of experience as Tech Lead or Solution Architect designing and delivering innovative digital solutions.
- AWS AI Technologies: Proficiency in AWS AI services such as SageMaker Rekognition and Bedrock is essential. The candidate should have experience designing and implementing AI solutions using these services.
- Microsoft Copilot: The candidate should be familiar with Microsoft Copilot which our staff currently uses to automate simple tasks such as notetaking.
- Machine Learning and Deep Learning: A strong understanding of machine learning and deep learning algorithms is crucial. The candidate should be able to develop train and deploy models on cloud platforms.
- Cloud Computing: Expertise in cloud computing particularly with AWS is necessary. The candidate should be able to design AWS distributed systems and applications in collaboration with our inhouse AWS Solution Architect.
- Big Data and Data Engineering: Experience handling and processing large datasets is essential. The candidate should be skilled in data engineering and able to work with big data technologies in collaboration with our inhouse Data Analyst.
- DevOps and MLOps: Knowledge of DevOps and MLOps practices is beneficial for managing the lifecycle of AI models and ensuring their scalability and reliability.
- Security and Compliance: Understanding of data security and compliance requirements especially when dealing with sensitive information is essential.
- Communication: Ability to clearly articulate technical concepts to nontechnical stakeholders is crucial. This includes both written and verbal communication skills.
- Innovation Mindset: A proactive approach to identifying new opportunities for AI applications within the organization.
- Adaptability: Being open to learning new technologies and adapting to the rapidly evolving AI landscape is important.
- Collaboration: Working effectively with crossfunctional teams is necessary to successfully implement AI solutions.
- Customer Focus: A strong focus on understanding and meeting the needs of customers and endusers.
- Time Management: Efficiently manage time and prioritize tasks to meet project deadlines.
You must have the right to work in New Zealand.
Our Values
- People first
- Respect everyone
- Be memorable
- Find a better way
- Think big act small
At our core we value partnership. We are strategic partners to our customers and we partner daily to achieve our vision of transforming patient outcomes globally by bringing the power of behaviour change and digital technology to healthcare.
Employment Type
Full Time
